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Record W1981101189 · doi:10.1177/1474474007072821

Turning theatre into law, and other spaces of politics

2007· article· en· W1981101189 on OpenAlexaffabout
Geraldine Pratt, Caleb Johnston

Bibliographic record

VenueCultural Geographies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoliticsAmateurBureaucracyLocal governmentGovernment (linguistics)CredibilityPublic administrationPolitical scienceLegislatureDemocracyPolitical theatreSociologyLawMedia studies

Abstract

fetched live from OpenAlex

We assess Practicing Democracy, a play created by Headlines Theatre in Vancouver, Canada, which was the first attempt to deploy Augusto Boal's legislative theatre in North America. The goal of this project was to use forum theatre to generate creative solutions to the dangers created by provincial government cuts to social welfare, and to work with local government to turn some of these recommendations into new local government laws. This goal was not attained, although the report produced by Headlines Theatre may have supported other local initiatives. We examine the ways in which local politicians and planners maintained the distinction between expert and amateur, so as to undermine the credibility of public input. A bureaucratic process of classification and abstraction also inhibited the recommendations from being turned into law, and reinstated the expertise of politicians and bureaucrats. We balance this assessment with a reading of spaces that are excessive to this rational calculation: the city as a concrete site of embodied, creative spatial disruptions; and theatre as a pedagogical public sphere.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0130.043
Scholarly communication0.0200.008
Open science0.0010.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.293
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations39
Published2007
Admission routes2
Has abstractyes

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